With the COVID-19 pandemic on the rise, several food supply chains worldwide are severely affected, creating a food shortage across retail outlets and food banks. Ironically, while most food banks are battling to quickly stock up their food supplies, on the other hand, we also see farmers discarding huge quantities of perishables such as milk, food grains, and vegetables. This is due to broken and non-existent distribution channels that supply restaurants, schools, commercial facilities, etc. resulting from the sudden drop in demand for these commodities there.
To address this alarming global food supply shortage and understand possible solutions, ThroughPut Inc. is hosting a webinar on "Tackling Food Shortages with AI-driven Food Supply Chains during COVID-19". For this webinar, ThroughPut has brought together some of the world's leading operational and supply chain experts to discuss and devise the best possible solutions to overcome this food crisis.
Join us for this insightful session where industry experts will share their views on how companies can create an uninterrupted supply of longer shelf and short shelf food products. They will also discuss key strategies of using Artificial Intelligence for uncertainty management between these two supply chains.
By watching this webinar, you will learn about:
Dr. Ramesh Bollapragada is a distinguished professor and world-renowned, award-winning expert in Industrial Automation, Food Supply Chain, Manufacturing Management, and Decision Sciences with over 30 years of pioneering experience in academia, the public, and the private sectors. His research interests are in the areas of food inventory and supply chain optimization, scheduling and economic lot-sizing, forecasting, transportation, quality management and outsourcing. Ramesh has held academic positions at University of California-Berkeley, Carnegie Mellon University, San Francisco State University, Lucent, and Bell Labs.
Anzar has multiple degrees in Mechanical Engineering, Manufacturing, and Supply Chain Management from leading German & American universities. Anzar comes from a utilities grid optimization background where he leveraged self developed machine learning modules to balance electricity production and consumption. Anzar has used this cross-industry background to complete successful projects and implementations in the food supply chain space. Recent examples include improving output and reducing waste for a meat processing facility, production leveling and inventory reduction for agro fertilizer containers, and end to end supply chain optimization for one of the largest supermarkets in Europe.